Predictive Validity of Different Modified Versions of the Identification of Seniors At Risk
Notice bibliographique
Résumé
To the Editor: An emergency department (ED) visit is a sentinel event for declining health status in older adults, and it should prompt appropriate assessment and care. Some screening tools have been suggested to identify older adults at high risk of adverse outcomes after an ED visit.1 The Identification of Seniors at Risk (ISAR), developed in Canada,2, 3 has been validated in elderly Italian adults in the ED, in whom it was able to predict 6-month ED revisit, hospitalization, functional decline, and death,4 as well as, in a recent, larger study, 30-day ED return.5 This tool consists of six yes-or-no items that determine functional status, previous hospital admission, complaints of cognitive and visual impairment, and polypharmacy (>3 drugs). An unresolved concern is the poor performance of the polypharmacy item in predicting adverse ED outcomes.4 A higher threshold for this item has been suggested to improve overall accuracy and specificity of the ISAR6 that would be more consistent with the common definition of polypharmacy (≥5 drugs), so the aim of the current study was to verify the usefulness of increasing the cutoff used to define polypharmacy in the ISAR using a secondary analysis in the individuals in the ED enrolled in the second study.5 Between January and June 2009, triage nurses administered the ISAR to 2,057 elderly adults (≥65). Individuals who were admitted to the hospital or discharged from the ED were enrolled. In the case of repeated ED visits during the enrollment period, only the first was considered. A 6-month follow-up was conducted by consulting hospital and administrative databases and death registers. Three different cutoffs for the polypharmacy item have been considered: more than three different medications everyday (the original ISAR), five or more medications (ISAR5), and eight or more medications (ISAR8). The ISAR was considered positive if the score was 2 or more out of 6, independent of the polypharmacy cutoff used. Sensitivity, specificity, area under the receiver operating characteristic curve (AUC), positive and negative predictive values (PPV, NPV), and odds (ORs) and hazard ratios (HRs) were calculated for admission at index ED visit; in-hospital mortality; 30-day ED return; and 6-month ED revisit, hospital readmission, and mortality. The test was positive in 1,395 patients (68%) with the ISAR, 1,269 (62%) with the ISAR5, and 1,156 (56%) with the ISAR8. Performance of the three ISAR versions is shown in Table 1. All of the ISAR versions were able to predict the need for hospitalization at the index ED visit, in-hospital mortality, ED revisit (within 30 days and 6 months), and 6-month rehospitalization and death, but the ISAR5 had a slight lower sensitivity and a higher specificity than the original ISAR for all of the considered outcomes. The ISAR8 had a further slight loss in sensitivity and a further increase in specificity for all of the outcomes. The usefulness of valid, rapid, low-cost instruments to provide early identification of older people at risk of adverse health outcomes after an ED visit cannot be overemphasized. The ISAR, independent of the cutoff of the polypharmacy item, is able to predict early and late ED return, hospitalization, functional decline, and death within 6 months after an ED visit,2-5 probably because it is able to identify frailty in these individuals.7 A higher cutoff for the polypharmacy item could improve ISAR performance; the current study found a progressive increase in specificity coupled with a slight progressive decrease in sensitivity (Table 1), but AUC, PPV, and NPV were substantially unaffected. The use of different ISAR versions could allow more-appropriate selection of older adults in the ED who could benefit from geriatric interventions, depending on resource availability. Polypharmacy is associated with higher risk of adverse drug reactions, drug interactions, nonadherence, poorer functional status, and various geriatric syndromes, as well as for many adverse health outcomes,8 but there is no consensus as to what number should define polypharmacy. It has been arbitrarily defined as taking from two to nine medications concurrently,9 and a recent article suggested that five or more medications is associated with adverse outcomes in community-dwelling older adults.10 All of these data could help in determining the best cutoff for the ISAR polypharmacy item. In conclusion, the ISAR was confirmed as a good screening tool for frail elderly adults in the ED, allowing their selection for geriatric interventions on the basis of local organizational and economic resources. Further studies are warranted to investigate the role of polypharmacy per se as a risk factor for adverse outcomes after an ED visit. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Author Contributions: F. Salvi wrote the manuscript and collected and analyzed the data. A. Belluigi collected the data. A. Cherubini critically revised the manuscript and gave final approval. Sponsor's Role: No sponsor.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,037 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».